42 engineering-computation "https:" "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" PhD positions at Leibniz
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on the processing of personal data as part of the application and selection process, please refer to the privacy policy on our homepage at https://www.senckenberg.de/en/imprint/ Please visit our website
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, informatics, physics or a related field strong expertise in machine learning strong interest in high performance computing on CPUs and GPUs proficiency in Fortran, Python, shell scripting proficiency with Linux
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research project, and the training programme is available on the RTG webpage (https:// www.uni-goettingen.de/rtg2906). Applications are due by 15.01.2026. We ask you to submit your written application as a
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density and neutral composition under different geophysical conditions, which have potential impacts on satellite operations. Your Qualifications / Experience: Mmaster's degree in physics, engineering
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or see http://www.dpz.eu. For more information about the Leibniz Association see www.leibniz-gemeinschaft.de
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physics, engineering, environmental sciences, or a relateddiscipline, is required. Basic knowledge and initial experience with experimental working methods (e.g.spectroscopy, laser physics) Fundamental
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program. Requirements Very good master's degree in computer science, data science, mathematics or a related discipline; relevant research experience (e.g., master's thesis) in the field of NLP/ML/text
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are first to be developed and established. Your Profile You ideally bring the following with you: Excellent master's degree in food chemistry, food technology, biochemistry, biophysics or similar High level
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Chemistry, Biological Oceanography, Marine Geosciences and Marine Observations work on an interdisciplinary basis in a joint research program. The Leibniz Institute for Baltic Sea Research Warnemünde has a
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tools to evaluate the ecological role of parasites and virus in the Elbe Estuary. The work is carried out as part of the DFG Graduate Program “Biota-Mediated Effects of Carbon Cycling in Estuaries